AI Product Engineer
AI Product Engineer
Jakkalsdraf Consultant Profile
About Me

AI product engineer with more than three years of experience turning business goals into working software. Work spans product definition, solution design, and hands-on engineering, with a focus on agentic systems and enterprise delivery. Strongest at the start of complex projects: clarifying the problem, designing the system, and guiding AI-assisted implementation through review and testing.

Core Competencies
AI & Agentic Systems
Agent orchestration, RAG, MCP, tool use, prompt optimisation, structured outputs, LLM evaluation, guardrails, multi-agent patterns.
Product & Engineering
Solution architecture, domain modelling, TypeScript, React, Python, Django, FastAPI, RBAC, multi-tenancy.
Delivery & Quality
Requirements discovery, backlog planning, enterprise delivery, automated testing, stakeholder communication, technical documentation.
Technical Stack
Languages & Backend
Python, TypeScript, JavaScript, SQL, Go, Django REST Framework, Pydantic, Celery, Redis, PostgreSQL, REST/OpenAPI.
Frontend & Extensions
React, TanStack Query, Zustand, Tailwind CSS, Chart.js, Chrome/Edge Manifest V3, service workers.
Cloud, Security & Quality
Docker, GitHub Actions, GCP (Cloud Run, Cloud SQL, Artifact Registry, Secret Manager), OAuth 2.0, OIDC, SAML, SSO, pytest, Playwright, Vitest.
Education
2023 BSc Computer Science, Distance-Learning University
Professional Experience
AI Engineering Lead @ Enterprise AI Governance Startup
Aug 2026 to Present
  • Help shape and build an enterprise platform for understanding and managing AI usage and cost.
  • Turn product and customer needs into clear user journeys, data models, and access rules.
  • Build React and TypeScript dashboard features and browser integrations for analytics, administration, onboarding, and policy controls.
  • Contribute Django backend features for multi-tenant access control, authentication, and reliable event processing.
  • Use agentic development methods to plan work, manage context, and review generated code against acceptance criteria and automated tests.
  • Built the original marketing website and maintain product documentation and development guidance.
Focus: Enterprise AI cost & usage platform: React, TypeScript, Django, multi-tenant RBAC, browser integrations, agentic delivery.
Software Developer & AI Team Lead @ Cloud Consulting Firm
Mar 2023 to May 2026
  • Progressed from junior developer into senior software development and leadership of the AI team.
  • Worked with clients to understand needs, then produced solution designs, backlogs, and delivery timelines with engineering, product, infrastructure, and security.
  • Planned and built configurable AI workflow systems using retrieval, tool integration, and role-based access.
  • Built backend and user interface features for RBAC in multi-tenant systems.
  • Led technical planning and delivery for enterprise clients from discovery through implementation.
  • Built a predictive modelling proof of concept using a custom operational dataset to support schedule forecasting.
  • Improved reliability, automated tests, and documentation for AI workflow systems; created reusable agent skills for the development team.
  • Interviewed engineering candidates and supported customer discovery, product demonstrations, sales conversations, and industry events.
Focus: Enterprise AI workflow systems: RAG, tool integration, RBAC, multi-tenancy, predictive modelling, client delivery and pre-sales.